Privacy Preserving Näıve Bayes Classifier for Vertically Partitioned Data
نویسندگان
چکیده
Privacy-Preserving Data Mining – developing models without seeing the data – is receiving growing attention. This paper assumes a privacy-preserving distributed data mining scenario: data sources collaborate to develop a global model, but must not disclose their data to others. Näıve Bayes is often used as a baseline classifier, consistently providing reasonable classification performance. This paper brings privacy-preservation to Näıve Bayes classification on vertically partitioned data.
منابع مشابه
Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data
Privacy-Preserving Data Mining – developing models without seeing the data – is receiving growing attention. This paper assumes a privacy-preserving distributed data mining scenario: data sources collaborate to develop a global model, but must not disclose their data to others. Näıve Bayes is often used as a baseline classifier, consistently providing reasonable classification performance. This...
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